Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python

Author:   Umberto Michelucci
Publisher:   APress
Edition:   2nd ed.
ISBN:  

9781484280195


Pages:   380
Publication Date:   29 March 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python


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Author:   Umberto Michelucci
Publisher:   APress
Imprint:   APress
Edition:   2nd ed.
Weight:   0.773kg
ISBN:  

9781484280195


ISBN 10:   1484280199
Pages:   380
Publication Date:   29 March 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1 : Optimization and Neural Networks.- Chapter 2: Hands-on with One Single Neuron.- Chapter 3: Feed Forward Neural Networks.-Chapter 4: Regularization.- Chapter 5: Advanced Optimizers.- Chapter 6: Hyperparameter Tuning.- Chapter 7: Convolutional Neural Networks.-Chapter 8: Brief Introduction to Recurrent Neural Networks.- Chapter 9: Autoencoders.- Chapter 10: Metric Analysis.- Chapter 11: General Adversarial Networks (GANs).- Appendix A: Introduction to Keras.- Appendix B: Customizing Keras

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Author Information

Umberto Michelucci is the founder and the chief AI scientist of TOELT – Advanced AI LAB LLC. He’s an expert in numerical simulation, statistics, data science, and machine learning. He has 15 years of practical experience in the fields of data warehouse, data science, and machine learning. His first book, Applied Deep Learning—A Case-Based Approach to Understanding Deep Neural Networks, was published in 2018. His second book, Convolutional and Recurrent Neural Networks Theory and Applications was published in 2019. He publishes his research regularly and gives lectures on machine learning and statistics at various universities. He holds a PhD in machine learning, and he is also a Google Developer Expert in Machine Learning based in Switzerland.

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